AI News, Five Top Artificial intelligence (AI) trends for 2019

The top 5 AI jobs for 2019

Artificial intelligence (AI) skills dominated the list of the fastest-growing jobs in 2018—a trend that is expected only to grow in the future.

Machines and algorithms are predicted to create 133 million new jobs by 2022, since companies are racing to adopt the technology that promises to revolutionize the way work gets done, according to a Tuesday report from KPMG.

And with the start of the new year, employees may be looking to switch jobs and hop on the AI bandwagon—and may collect a large salary for doing so.

Working alongside the AI architect, the AI product manager coordinates between business teams to make sure solutions are integrated correctly, according to the report.

Software engineers are the ones working directly with data scientists to execute AI in a way that best works towards the company's goals.

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AI Plus Human Intelligence Enhances the Candidate Experience For many companies the first pilots of artificial intelligence are in talent acquisition, as this is the area where companies see significant, measurable, and immediate results in reducing time to hire, increasing productivity for recruiters, and delivering an enhanced candidate experience that is seamless, simple, and intuitive.

The DBS Talent Acquisition team created JIM (Jobs Intelligence Maestro), a virtual recruitment bot powered by artificial intelligence used to conduct candidate screening for those applying to be wealth planning managers, a high volume job in the consumer bank.

Following the introduction of JIM in May 2018, DBS talent acquisition was able to: 1) shorten the screening time from 32 minutes per candidate to 8 minutes per candidate, 2) improve completion rate of job application from 85% to 97% and 3) respond to 96% of all candidate queries through JIM, allowing recruiters to spend more time sharing the culture and values of DBS with candidates.

Recruiters no longer need to spend hours to screen thousands of applicants, freeing them up to perform higher-value work such as sourcing, recruitment marketing, engaging with candidates, and hiring managers.

John Jordan who leads The Academy and Advisor Development at Bank of America calls this a 'life stage navigation curriculum,' assisting Bank of America financial advisors in better understanding the priorities of their customers in various life stages from young parent, to widower, to retiree.

PwC forecasts 20% of executives at U.S. companies with artificial intelligence initiatives report that they will roll out AI across their business this year and expect AI investment to both re-imagine jobs and work processes as well as grow profits and revenue.

Rob Brown, Associate Vice President at Center for the Future of Work at Cognizant Technology Solutions, shares the drivers behind the 21 More Jobs For the Future of Work: 'The vision behind our newest report is to profile futuristic jobs which leverage the power of artificial intelligence to blend technology with the 'human touch' for jobs in the future workplace.'

Head of Business Behavior: The head of business behavior will analyze employee behavioral data such as performance data along with data gathered through personal, environmental and spatial sensors to create strategies to improve employee experience, cross company collaboration, productivity and employee well-being.

As practical uses of AI have exploded in recent years, we look for more companies to establish new jobs focusing on ethical uses of AI to ensure AI's trustworthiness, while also helping to diffuse fears about it.

Figure 4 lists fifteen of these companies below: Skills-based hiring may start by changing a job description and removing a degree requirement, but it requires shifting mindsets on where and how a company sources talent.

These new ways to source non-traditional candidates range from Boot Camps, Coding schools, MOOC's, Technical high schools like P-TECH (a joint high school diploma and associate degree in STEM), Job training conducted at community centers, high schools, or even sponsor a company wide Hackathon.

In fact, workers said they’d be willing to forego 23% of their entire future lifetime earnings in order to have a job that was always meaningful to them.This means that building greater meaning at work is no longer a 'nice to have,' but a business imperative.

Employees who find work highly meaningful are 69% less likely to plan on quitting their jobs within the next six months, and have job tenures that are 7.4 months longer on average than employees who find work lacking in meaning.

As the quest for meaning in the workplace grows, more HR leaders are putting a greater emphasis on communicating their company's culture and sharing their purpose and meaning across the employee population.

Two Powerful Employee Perks Emerge: Access To Natural Light And Career Development The news headlines about which perks create a compelling employee experience seem to be dominated by fads— think treadmill desks, nap pods, and “bring your dog to work day.

In a research poll of 1,614 North American employees, we found that access to natural light and views of the outdoors are the number one attribute of the workplace environment, outranking traditional benefits like onsite cafeterias, fitness centers, and premium perks including on-site childcare (only 4-8% of FORTUNE 100 companies offer on-site child care).

Amazon’s Spheres relies on the premise that natural light, plant life, and healthy activities reduce employee stress and improve job satisfaction more so than a standard office building.

With more than 7 million jobs unfilled, companies are recognizing the importance of creating internal mobility and job rotation programs to keep employees motivated and engaged.

Walmart is also using virtual reality to train 1 million associates across 4,700 stores in the U.S. on various aspects of store operations from taking care of produce to handling crowds on Black Friday.

↗️AI Artificial Intelligence Research Trend 2019 [Brian Ka Chan]

- Mind Data Intelligence +Artificial Intelligence Trend Large Scale .

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